Search Results - "Modrak, Ryan T"

Machine Learning Inference of Random Medium Properties by Gao, Kai, Modrak, Ryan T.

“…Earth materials are heterogeneous across a range of spatial scales, but the resolvability of small structures is limited by sparse data coverage, noise,…”
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Ultrasonic wavefield inversion and migration in complex heterogeneous structures: 2D numerical imaging and nondestructive testing experiments by Nguyen, Luan T., Modrak, Ryan T.

“…•Large-scale features can be recovered through low-frequency waveform inversion.•Small-scale defects are effectively detected through high-frequency…”
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Deep-learning-guided high-resolution subsurface reflectivity imaging with application to ground-penetrating radar data by Gao, Kai, Donahue, Carly, Henderson, Bradley G, Modrak, Ryan T

“…SUMMARY Subsurface reflectivity imaging is one of the most important geophysical characterization methods for revealing subsurface structures. In many cases,…”
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A Bayesian framework for infrasound location by Modrak, Ryan T., Arrowsmith, Stephen J., Anderson, Dale N.

“…We develop a framework for location of infrasound events using backazimuth and infrasonic arrival times from multiple arrays. Bayesian infrasonic source…”
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SeisFlows—Flexible waveform inversion software by Modrak, Ryan T., Borisov, Dmitry, Lefebvre, Matthieu, Tromp, Jeroen

“…SeisFlows is an open source Python package that provides a customizable waveform inversion workflow and framework for research in oil and gas exploration,…”
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SREMI: Super-resolution electromagnetic imaging with single-channel ground-penetrating radar by Gao, Kai, Donahue, Carly M., Henderson, Bradley G., Modrak, Ryan T.

“…•We develop a super-resolution GPR imaging method using FISTA algorithm.•We solve an exploding reflector model to significantly accelerating the…”
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Aacoustic and elastic waveform inversion best practices by Modrak, Ryan T

“…Reaching the global minimum of a waveform misfit function requires careful choices about the nonlinear optimization, preconditioning and regularization methods…”
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